Article

Multi-Omics Prognostic Marker Discovery and Survival Modeling: A Case Study on Pan-Cancer Survival Analyses in Women’s Cancers

2025-01-09

Abstract excerpt

Survival analysis is essential for predicting patient outcomes and guiding personalized cancer treatments. While multi-omics data offers valuable insights, its high dimensionality complicates analysis and clinical application. Many studies still rely on the traditional Cox proportional hazards model, with limited exploration of alternative survival algorithms or robust feature selection methods. Few frameworks eff...

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Literature Corpus work: d5c5e0d7-ecf3-59a5-aa96-b3325c20115e
DOI: 10.1101/2025.01.08.25320212

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